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Question: How important is coming from a wealthy family for getting ahead in life?
Choices: "Essential" "Very important" "Fairly important" "Not very important" "Not important at all"
Data: % of "Essential" "Very important"
Period:
Area:
30 countries/ areas
Highlight:
1 Poland49.8%
2 Turkiye46.9%
3 Republic of Korea45.9%
4 Hungary42.5%
5 Latvia39.9%
6 Chile37.7%
7 Italy37.2%
8 Portugal35.5%
9 Slovakia35.4%
10 Israel34.8%
11 Spain32.4%
12 Slovenia31.4%
13 Austria31.1%
14 United States30.5%
15 Germany28.8%
16 Estonia26.6%
17 Czech Republic24.2%
18 Australia21.6%
19 Lithuania21.0%
20 United Kingdom15.0%
21 Belgium14.5%
22 Sweden13.5%
23 Switzerland12.6%
24 Japan 12.4%
25 Norway10.8%
26 Iceland10.6%
27 France10.2%
28 New Zealand9.1%
29 Denmark8.6%
30 Finland6.4%

Note
Can't choose/ No answer are excluded. Belgium: unweighted sum of Flanders and Wallony. Germany: unweighted sum of West and East Germany. United Kingdom: excluding Northern Ireland.

No data for 8 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data30
Regression equation
Y = -3.135758 X +7.498
Correlation coefficient (r)-0.709
Coefficient of determination (R2)0.503

GDP per capita (current US$)
No. of data30
Regression equation
Y = -114249.929058 X +72920.590
Correlation coefficient (r)-0.639
Coefficient of determination (R2)0.408

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = -13.548017 X +83.685
Correlation coefficient (r)-0.521
Coefficient of determination (R2)0.271

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = -0.291552 X +1.666
Correlation coefficient (r)-0.111
Coefficient of determination (R2)0.012

Suicide, age-standardized (per 100 000 population)
No. of data30
Regression equation
Y = -3.136531 X +11.388
Correlation coefficient (r)-0.099
Coefficient of determination (R2)0.010